Update ArcanaUI2.py

ArcanaUI2.py

@@ -93,7 +93,7 @@ search_mode = 0#Always Search
 # OpenAI client setup
 client = OpenAI(
     base_url='https://api.openai-proxy.org/v1',
-    api_key='sk-Nxf8HmLpfIMhCd83n3TOr00TR57uBZ0jMbAgGCOzppXvlsx1',
+    api_key='sk-JPHnp3AyBA0TOxXuhJ01sbhuq8dRlW6YHQjbGpla279c4dAn',
 )
 
 # Function list for OpenAI API
@@ -149,7 +149,7 @@ def openai_api_call(messages, retries=3, delay=5):
         try:
             # Modify the user's message if search_mode is 0
             if search_mode == 0:
-                messages[-1]['content'] = "[System: SEARCH when the user ASKED A QUESTION & remember to CITE(the source is the first tag). Otherwise do not search];" + messages[-1]['content']
+                messages[-1]['content'] = "[System: SEARCH when the user ASKED A QUESTION & remember to CITE(the source is the first tag). Otherwise do not search. The User's question:"];" + messages[-1]['content']
 
             completion = client.chat.completions.create(
                 model="gpt-4o",
@@ -219,8 +219,8 @@ def handle_dbms_mode(mode):
     
 # Chatbot response function
 def chatbot_response(message, history):
-    messages = [{"role": "system", "content": '''You are Arcana, a dynamic study resource database designed to help students excel in their exams. Your responses should be accurate, informative, and evidence-based whenever possible. Follow these guidelines:
-Your primary goal is to provide students with the most helpful and accurate study information, utilizing both your internal knowledge and the PDF resources at your disposal. You will search your database for answers and properly intext cite them, unless there is no such data, then you will intextcite[Arcana].'''}]
+    messages = [{"role": "system", "content": '''Your name is Arcana. You are a chatbot made by Indexademics. Your goal is to solve questions. You can query the database at anytime when the user asks a question specific to their tasks and you think is unlikely to be searchable online. 
+    If they ask anything about academics, search your database first, then use your own knowledge. Cite the file name when you use the dbms.'''}]
     
     for human, assistant in history:
         messages.append({"role": "user", "content": human})
@@ -413,8 +413,8 @@ chatbot_interface = gr.ChatInterface(
     chatbot_response,
     chatbot=gr.Chatbot(height=400),
     textbox=gr.Textbox(placeholder="Type your message here...", container=False, scale=100),
-    title="Review With Arcana",
-    description="ArcanaUI v0.8 - Chatbot",
+    title="Indexademics ChatBot",
+    description="Arcana v1",
     theme="default",
     examples=get_random_examples(),
     cache_examples=False,
@@ -446,7 +446,7 @@ async () => {
     };
 }
 """) as demo:
-    gr.Markdown("# ArcanaUI v0.8")
+    gr.Markdown("# ArcanaV1")
     with gr.Tabs():
         with gr.TabItem("Welcome Page"):
             with open('introduction.txt',mode='r') as file:
@@ -465,7 +465,7 @@ async () => {
                 # Left column: File list and buttons
                 with gr.Column(scale=1):
                     gr.Markdown("## Upload File")
-                    file_input = gr.File(label="Upload your file here", file_types=["pdf", "jpeg", "jpg", "gif", "docx"])
+                    file_input = gr.File(label="Upload your file here", file_types=["pdf", "jpeg", "jpg", "gif", "docx", "pptx"])
                     file_input.change(handle_file_upload_threaded, inputs=file_input)
                     
                     uploaded_files_list = gr.DataFrame(headers=["Uploaded Files"], datatype="str", interactive=False)
@@ -502,7 +502,7 @@ async () => {
                                 inputs=new_file_name, 
                                 outputs=[uploaded_files_list, file_status, file_viewer, file_size, file_creation_time])
 
-            render_button = gr.Button("Render all PDFs to Database")
+            render_button = gr.Button("Render All Files to Database")
             render_button.click(fn=render_to_database)
 
         with gr.TabItem('Settings'):